Level Set Methods for Optimization Problems Involving Geometry and Constraints I. Frequencies of a T
By Stanley J. Osher, Fadil Santosa. 2001
569 citations recorded by the source corpus.
Subfields: Civil and Structural Engineering, Computational Mechanics
View Paper: https://www.semanticscholar.org/paper/1aa33aa2ef2daf732e5f9ebfb16bd2b85e571593
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Civil and Structural Engineering
- Michael Y. Wang
- Zhen Luo
- Ramana V. Grandhi
- Joshua D. Deaton
- Zhan Kang
- Ole Sigmund
- H. A. Kim
- Shengyin Wang
In Computational Mechanics
- Michael Y. Wang
- Zhen Luo
- Shengyin Wang
- Xuecheng Tai
- Ramana V. Grandhi
- Joshua D. Deaton
- Zhan Kang
- Stanley J. Osher
Citations in the corpus
- Electrical impedance tomography using level set representation and total variational regularization (2005, unknown): “The pioneering work of Osher and Santosa [29] uses the level set method for an inverse problem associated with shape optimization for the eigenvalues of the Laplace equation.”
- Geometric constraints for shape and topology optimization in architectural design (2017, methodology): “This minimization uses a numerical representation of shapes via the level set method [7, 8, 49, 57, 64]; the clear description of shapes allowed by this technique is pivotal in accounting for their geometric attributes (normal vector, principal curvatures, etc.”
- A level set method for structural shape and topology optimization using radial basis functions (2009, background): “However, these PDEs are seldom easy to implement [22] because the mathematically meaningful solutions can only be obtained under some strict conditions [16,17,23].”